The project is to predict whether a website belongs to a phishing or a genuine site. I used machine learning techniques along with advanced feature engineering to develop and train the model. The trained model is capable to predict with accuracy of 94% accuracy on unknown data.

This model can be used to detect phishing frauds and prevent the loss of millions of dollars due to phishing attacks. Happy to grab the 1st winning position in the challenge :)

  • Amitabh Bhattacharya (Student / RA, UNF)

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